李斌Dr. Bin Li
教授，特聘研究员，博士生导师, 深圳市媒体信息内容安全重点实验室主任.
Professor，Research Fellow，PhD. Supervisor， Director of Shenzhen Key Lab of Media Security
联系方式(Contact):
Email: libin [AT] szu.edu.cn
Tel:
地址：深圳市南山区白石路深圳大学电子与信息工程学院N801
Address: Room N801, College of Electronics and Information Engineering, Shenzhen University
简介(Biography)：
李斌，男，工学博士，现任深圳大学教授，特聘研究员，博士生导师，广东省自然科学基金****基金获得者，深圳市高层次专业人才，深圳市优秀教师，IEEE高级会员。获中山大学通信工程专业学士学位，通信与信息系统专业博士学位，美国新泽西理工学院联合培养博士。研究领域包括图像音视频信息内容安全，智能信息处理，机器学习等。曾任深圳大学信息工程学院副院长，深圳大学科协委员，现担任广东省智能信息处理重点实验室副主任、深圳市媒体信息内容安全重点实验室主任。发表包括国际权威刊物IEEE T-IFS、IEEE T-IP、IEEE T-CSVT等SCI/EI论文60多篇,编著教材1部，谷歌学术引用2500多次，H指数22，i-10指数34。获国家发明专利授权3项，转化专利1项，美国专利授权2项，软件著作权6项。获中国计算机学会科学技术奖自然科学一等奖（排名前三），获会议优秀论文奖2篇。主持国家自然科学基金、深圳市学科布局等科研项目。担任广东省图形图象学会副理事长，IEEE Information Forensics and Security 技术委员会委员，中国图象图形学会数字媒体取证与安全专业委员会常务委员，IEEE OJSP (Open Journal of Signal Processing)期刊编委，IEEE ICIP、IEEE WIFS、IEEE ICASSP、ACM IH&MMSEC等国际学术会议的Area Chair、Publication Chair、TC Member等学术兼职。
Dr. BIN LI received the B.E. degree in communication engineering and the Ph.D. degree in communication and information system from Sun Yat-sen University, Guangzhou, China, in 2004 and 2009, respectively. He was a Visiting Scholar with the New Jersey Institute of Technology, Newark, NJ, USA, from 2007 to 2008. In 2009, he joined Shenzhen University, Shenzhen, China, where he is currently a Professor. He is the vice director of Guangdong Key Laboratory of Intelligent Information Processing and the director of Shenzhen Key Laboratory of Media Security. His current research interests include image processing, multimedia forensics, and pattern recognition.
研究兴趣(Research Interests)：
· 多媒体取证、多媒体安全、信息隐藏、图像/音频/视频信号处理、模式识别、机器学习；
· Multimedia, Forensics and Security, Information Hiding, Image/Audio/Video Signal Processing, Pattern Recognition, Machine Learning；
研究生、博士后招生 (Recruitment)：
硕士生（学术型）、博士生、
博士后：信息与通信工程。
硕士生（专业型）：电子与通信工程
指导硕士生获第二十届全国图象图形学学术会议(NCIG2020)最佳论文奖、中国电子学会主办第十二届全国信息隐藏会议优秀论文奖、优秀毕业生。毕业生主要在深圳从事人工智能、图像处理、软硬件研发等方面的工作。
主讲课程(Teaching Courses)：
数字图像处理、概率论与数理统计、复变函数、专业英语。
科研项目 (Research Projects)：
· 国家自然科学基金面上项目“对抗环境下基于深度学习的JPEG图像取证与反取证研究(**)”，2019.01-2022.12，62万
· 国家自然科学基金面上项目“非加性失真图像隐写研究(**)”，2016.01-2019.12，63万
· 国家自然科学基金青年基金项目，特征向量变化可控的安全隐写研究(**)，2012.01-2014.12，20万
· 广东省自然科学基金****项目，AI生成型虚假视听媒体取证技术研究（2019B），2019.10-2023.9，100万
· 广东省自然科学基金项目，基于量化噪声和深度架构的JPEG图像篡改检测（2014A），2015.01-2018.01，10万
· 深圳市基础研究重点项目，AI伪造图像音视频检测理论与关键技术研究(JCYJ008228)，2020.11-2023.10，200万
· 深圳市基础研究项目，基于深度神经网络的图像修复关键技术(JCYJ20**5555)，2019.01-2020.12，30万
· 深圳市战略性新兴产业发展专项资金项目，数字可视媒体内容篡改盲取证的关键技术研究（JCYJ201206**），2012.08-2014.08，10万
主要学术兼职 (Academic Service) ：
· Associate Editor, IEEE Open Journal of Signal Processing (https://signalprocessingsociety.org/publications/ieee-open-journal-signal-processing)
· Editor, KSII Transactions on Internet and Information Systems （SCI期刊：http://www.itiis.org/）
· IEEE Communication/Signal Processing Society Shenzhen Chapter Secretary
· Publicity Co-chair, 9th IEEE International Workshop on Information Forensics and Security (WIFS) 2017
· Workshop Co-chair, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2016 Workshop on Multimedia and Security
· Session Co-chair, Asia-Pacific Signal and Information Processing Association (APSIPA) 2015 - Special Section: Multimedia Forensics and Security
获得奖励:
· 信息隐藏理论与方法，CCF科学技术奖自然科学一等奖，2019.10.18
· 陈晓铭，李斌*. 应用双通道Faster R-CNN与注意力机制模型的图像篡改检测. 第二十届全国图象图形学学术会议(NCIG2020), 2020. (最佳论文奖)
· Yuankun Huang, Shunquan Tan, 。*, Jiwu Huang. VPCID—A VoIP Phone Call Identification Database. International Workshop on Digital Forensics and Watermarking , 11378: 307-321, 2018. （Best Paper）
· 2019中国高校计算机大赛——大数据挑战赛一等奖
· 第十二届中国计算机设计大赛二等奖
学术成果:
期刊论文 (Journal Papers):
·Weixuan Tang, Bin Li*, Mauro Barni, Jin Li and Jiwu Huang. An Automatic Cost Learning Framework for Image Steganography Using Deep Reinforcement Learning. IEEE Transactions on Information Forensics and Security, vol. 16, pp. 952-967, 2021. (中科院大类一区，TOP期刊)
·Haodong Li, Bin Li*, Shunquan Tan, Jiwu Huang. Identification of Deep Network Generated Images Using Disparities in Color Components. Signal Processing, vol. 174, 2020,(中科院大类二区)
·Yuankun Huang, Bin Li*, Mauro Barni, Jiwu Huang. Identification of VoIP Speech with Multiple Domain Deep Features. IEEE Transactions on Information Forensics and Security. vol. 15, pp. 2253-2267, 2020. (中科院大类一区，TOP期刊)
·WeixuanTang, Bin Li*, Shunquan Tan, Mauro Barni, Jiwu Huang. CNN-based Adversarial Embedding for Image Steganography. IEEE Transactions on Information Forensics and Security, 14(8): 2074-2087, 2019. (中科院大类一区，TOP期刊)
·Bin Li, Zhongpeng Li, Shijun Zhou, Shunquan Tan, Xiaoling Zhang. New Steganalytic Features for Spatial Image Steganography based on Derivative Filters and Threshold LBP Operator. IEEE Transactions on Information Forensics and Security, 13 (5): 1242-1257, 2018.
·Bin Li, Ming Wang, Xiaolong Li, Shunquan Tan, Jiwu Huang. A Strategy of Clustering Modification Directions in Spatial Image Steganography. IEEE Transactions on Information Forensics and Security, 10(9):1905-1917, 2015.
·Bin Li, Tian-Tsong Ng, Xiaolong Li, Shunquan Tan, Jiwu Huang. Statistical Model of JPEG Noises and Its Application in Quantization Step Estimation. IEEE Transactions on Image Processing, 24(5): 1471-1484, 2015.
·Bin Li, Tian-Tsong Ng, Xiaolong Li, Shunquan Tan, Jiwu Huang. Revealing the Trace of High-Quality JPEG Compression through Quantization Noise Analysis. IEEE Transactions on Information Forensics and Security, 10(3): 558-573, 2015.
·Bin Li, Shunquan Tan, Ming Wang, Jiwu Huang. Investigation on cost assignment in spatial image steganography. IEEE Transactions on Information Forensics and Security 9(8): 1264-1277, 2014
·Xinghao Jiang, Qiang Xu, Tanfeng Sun, Bin Li, Peisong He. Detection of HEVC Double Compression With the Same Coding Parameters Based on Analysis of Intra Coding Quality Degradation Process. IEEE Transactions on Information Forensics and Security. 15: 250-263, 2020.
·Xin Liao, Yingbo Yu, Bin Li, Zhongpeng Li, Zheng Qin. A New Payload Partition Strategy in Color Image Steganography. IEEE Transactions on Circuits and Systems for Video Technology. 30(3): 685-696, 2020.
· Jishen Zeng, Shunquan Tan, Bin Li, Jiwu Huang. Large-scale JPEG image steganalysis using hybrid deep-learning framework. IEEE Transactions on Information Forensics and Security, 13 (5):1200-1214, 2018.
· Da Luo, Rui Yang, Bin Liand Jiw Huang, Detection of Double Compressed AMR Audio Using Stacked Autoencoder. IEEE Transactions on Information Forensics and Security, 12(2): 432-444, 2017.
·Shunquan Tan, Haojie Zhang, Bin Li, Jiwu Huang. Pixel-Decimation-Assisted Steganalysis of Synchronize-Embedding-Changes Steganography. IEEE Transactions on Information Forensics and Security, 12(7):1658-1670, 2017.
·Shengda Chen, Shunquan Tan, Bin Li, Jiwu Huang. Automatic Detection of Object-based Forgery in Advanced Video. IEEE Transactions on Circuits and Systems for Video Technology. 26(11):2138-2151, 2016.
·Xiaolong Li, Bin Li, Bin Yang, General framework to histogram-shifting based reversible data hiding. IEEE Transactions on Image Processing, 2013, 22(6), 2181-2191.
·Xiaoyu Shi, Benedetta Tondi, Bin Li*, Mauro Barni. CNN-based steganalysis and parametric adversarial embedding:A game-theoretic framework. Signal Processing: Image Communication, Volume 89, 2020, 115992, ISSN 0923-5965.
·郑博伟,李斌*,李炎然.面向统计特性一致的深度图像修复方法.信号处理. 36 (9): 1511-1524, 2020.
·Bin Li, Haoxin Zhang, Hu Luo, Shunquan Tan. Detecting Double JPEG Compression and Its Related Anti-forensic Operations with CNN. Multimedia Tools and Applications, 78(7): 8577-8601, 2019.
·史晓裕,李斌*,谭舜泉,深度学习空域隐写分析的预处理层. 应用科学学报. 36(2): 309-320, 2018.
·Bin Li, Weihang Wei, Anselmo Ferreira, Shunquan Tan. ReST-Net: Diverse Activation Modules and Parallel Subnets-Based CNN for Spatial Image Steganalysis. IEEE Signal Processing Letters, 25(5): 650-654, 2018.
·Weixuan Tang, Shunquan Tan, Bin Li, Jiwu Huang. Automatic Steganographic Distortion Learning Using a Generative Adversarial Network. IEEE Signal Processing Letters, 24(10): 1547-1551, 2017.
·Fei Xue, Ziyi Ye, Wei Lu, Hongmei Liu, Bin Li. MSE Period Based Estimation of First Quantization Step in Double Compressed JPEG Images. Signal Processing: Image Communication, 57: 76-83, 2017.
·Weixuan Tang,Bin Li*, Weiqi Luo, Jiwhu Huang. Clustering Steganographic Modification Directions for Color Components. IEEE Signal Processing Letters, 23(2):197-201, 2016.
·Xiaolong Li, Bin Li, Xiangyang Luo. Steganalysisof a PVD-based content adaptive image steganography. Signal Processing, 2013, 93(9), 2529-2538.
·Xiaolong Li, Jian Li, Bin Li, Bin Yang, High-fidelity reversible data hiding scheme based on pixel-value-ordering and prediction-error expansion [J]. Signal Processing, 2013, 93(1), 198-205.
·Shunquan Tan, Bin Li, Targeted steganalysis of edge adaptive image steganography based on LSB matching revisited using B-spline fitting. IEEE Signal Processing Letters, 2012, 19(6), 336-339.
·Bin Li, Junhui He, Jiwu Huang and Yun Q. Shi. A survey on image steganography and steganalysis. Journal of Information Hiding and Multimedia Signal Processing, 2(2): 142-172, 2011.
·Bin Li, Jiwu Huang and Yun Q. Shi. Steganalysis of yass. IEEE Transactions on Information Forensics and Security, 2009, 4(3): 369-382.
·Bin Li, Yanmei Fang and Jiwu Huang. Steganalysis of multiple-base notational system steganography. IEEE Signal Processing Letters, 2008, 15: 493-496.
·Junhui He, Shaohua Tang and Bin Li. Model-based steganalytic method towards color jpeg images. Journal of Computational Information Systems, 2007, 3(6): 2293-2302.
·欧阳春娟，李霞，李斌*, 图像隐写系统模糊相对熵安全性测度研究. 电子学报, 2012, 40(8), 1514-1522.
·欧阳春娟，李斌，李霞，王娜, 基于Vague集相似度量的图像隐写系统安全性测度. 计算机学报, 2012, 35(7), 1510-1521.
·欧阳春娟，李霞，李斌, 基于遗传优化图像稀疏分解的密写算法. 信号处理, 2012, 28(6), 821-826.
会议论文:
· 陈晓铭，李斌*. 应用双通道Faster R-CNN与注意力机制模型的图像篡改检测. 第二十届全国图象图形学学术会议(NCIG2020), 2020. (最佳论文奖)
· Xinghong Qin, Bin Li*, Jiwu Huang. A New Spatial Steganographic Scheme by Modeling Image Residuals with Multivariate Gaussian Model,2019 IEEE International Conference on Acoustics, Speech and Signal Processing. 2617-2621, 2019. (CCF推荐B类会议)
· Yuankun Huang, Shunquan Tan, Bin Li*, Jiwu Huang. VPCID—A VoIP Phone Call Identification Database. International Workshop on Digital Forensics and Watermarking , 11378: 307-321, 2018. （Best Paper）
· Shijun Zhou, Weixuan Tang, Shunquan Tan, Bin Li*. Content-Adaptive Steganalysis via Augmented Utilization of Selection-Channel Information. International Workshop on Digital Forensics and Watermarking, 11378:261-274, 2018.
· Anselmo Ferreira, Han Chen, Bin Li*, Jiwu Huang. An Inception-Base Data-Driven Ensemble Approach toCamera Model Identification. IEEE International Workshop on Information Forensics and Security (WIFS). 1-5, 2018.
· Haodong Li, Han Chen, Bin Li*, Shunquan Tan. Can Forensic Detectors Identify GAN Generated Images? 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 722-727, 2018.
· Hongrun Zhang, Bin Li*, Shunquan Tan. A New Steganographic Distortion Function with Explicit Considerations of Modification Interactions. The 4th International Conference on Cloud Computing and Security. 2018.
· 史晓裕, 李斌, 谭舜泉. 深度学习隐写分析的预处理层研究, 第十四届全国信息隐藏暨多媒体信息安全学术大会, 2018
· 谭舜泉, 刘光庆, 曾吉申, 李斌. 深度残差网络JPEG隐写分析器的特性研究, 第十四届全国信息隐藏暨多媒体信息安全学术大会, 2018
· Bin Li, Hu Luo, Haoxin Zhang, Shunquan Tan, Zhongzhou Ji. A multi-branch convolutional neural network for detecting double JPEG compression. The 3rd International Workshop on Digital Crime and Forensics. Nanchang, 1-16, 2017
· Ye Zhu, Tian-Tsong Ng, Bihan Wen, Xuanjing Shen, Bin Li, Copy-move Forgery Detection in the Presence of Similar but Genuine Objects, IEEE International Conference on Signal and Image Processing (ICSIP), Singapore, 2017.
· Jishen Zeng, Shunquan Tan, Bin Li, Jiwu Huang. Pre-training via Fitting Deep Neural Network to Rich-Model Features Extraction Procedure and Its Effect on Deep Learning for Steganalysis. In Proc. Media Watermarking, Security, and Forensics 2017.
· Shunquan Tan, Shengda Chen, Bin Li, GOP based automatic detection of object-based forgery in advanced video, In Proc. Asia-Pacific Signal and Information Processing, 2015.
· Guangyuan Yang, Xiaolong Li,Bin Li, Zongming Guo, A new detector of LSB matching steganography based on likelihood ratio test for multivariate Gaussian covers. In Proc. Asia-Pacific Signal and Information Processing, 2015.
· Bowen Xue, Xiaolong Li, Bin Li, Zongming Guo, Steganalysis of LSB replacement for multivariate Gaussian covers. In Proc. Chinasip, 2015.
· Bin Li, Ming Wang, Jiwu Huang, Xiaolong Li, A new cost function for spatial image steganography. In Proc.International Conference on Image Processing, 2014.10.
· Shunquan Tan, Bin Li, Stacked convolutional auto-encoders for steganalysis of digital images. In Proc. Asia-Pacific Signal and Information Processing, 2014.
· Shunquan Tan, Bin Li, Targeted steganalysis of adaptive pixel-value differencing steganography. In Proc. International Conference on Image Processing, 2012, 1, 1129-1132.
· Bin Li, Jiwu Huang,Y. Q. Shi. Steganalysis of YASS. Proceedings of the 10th ACM Workshop on Multimedia and Security. 139-148.2008
· Bin Li, Jiwu Huang,Y. Q. Shi. Textural features based universal steganalysis, Proceedings of SPIE-IS and T Electronic Imaging - Security, Forensics, Steganography, and Watermarking of Multimedia Contents X, 6819,2008
· Bin Li, Fangjun Huang, Jiwu Huang. Steganalysis of LSB greedy embedding algorithm for JPEG images using coefficient symmetry. 14th IEEE International Conference on Image Processing, ICIP 2007, I413-I416
· Bin Li, Fangjun Huang, Shunquan Tan, Jiwu Huang and Yun Q. Shi. Effect of different coding patterns on compressed frequency domain based universal jpeg steganalysis. In: Proc. of 6th International Workshop on Digital Watermarking. Guangzhou, China. 2007. 143-157.
· Bin Li, Y. Q. Shi and Jiwu Huang. Detecting doubly compressed jpeg images by using mode based first digit features. In: Proc. of IEEE 10th Workshop on Multimedia Signal Processing. Cairns, Australia. 2008. 730-735.
· Fangjun Huang,Bin Li, Jiwu Huang. Universal JPEG steganalysis based on microscopic and macroscopic calibration, IEEE International Conference on Image Processing, ICIP 2008, 2068-2071
· Fangjun Huang, Bin Li, Jiwu Huang. Attack LSB matching steganography by counting alteration rate of the number of neighbourhood gray levels, IEEE International Conference on Image Processing, ICIP 2007, I401-I404
专利:
·李斌，李忠蓬，黄继武.一种数字图像隐写分析特征提取方法与提取系统，国家发明专利(已授权), 中华人民共和国国家知识产权局,ZL1.8，授权日期：2020.2.18
·李斌.一种图像判别装置及其判别方法，国家发明专利(已授权),中华人民共和国国家知识产权局,ZL4.9，授权日期：2017.01.11
·李斌. 一种用于图像的量化步长估计处理方法及装置，国家发明专利(已授权),中华人民共和国国家知识产权局,ZL0.5，授权日期：2014.10.29
·李斌，刘宏伟，李霞, 一种信息隐写方法及装置, 国家发明专利(已授权), 中华人民共和国国家知识产权局, ZL9.8，授权日期：2013.7.10
·李斌，罗瑚，张浩鑫.一种图像判别方法、存储设备及移动终端，专利申请号：4.9，申请日：2017.09.29
·张坤华，谭志恒，李斌. 基于PSO和综合评价准则的PCNN图分割方法及装置，专利申请号：9.8，申请日：2017.11.09
·秦兴红，李斌.一种空域图像自适应隐写方法、系统及装置，专利申请号：9.6，申请日：2019.01.29
·秦兴红，李斌.基于像素向量的彩色图像隐写方法及其系统，专利申请号：4.1，申请日：2019.01.07
·李广林，李斌.基于神经网络的共生矩阵特征提取方法、存储介质及终端，专利申请号：9.9，申请日：2019.12.02
·黄远坤，李斌，黄继武. 一种识别网络电话语音的方法、存储介质及装置，专利申请号：5.7，申请日：2019.11.05
·郑博伟，李斌.一种图像修复模型的训练方法和计算机设备，专利申请号：3.2，申请日：2019.12.05
·张浩杰，谭舜泉，李斌，黄继武.一种基于频域分析的图像隐写方法及系统，专利申请号：7.X，申请日：2016.08.10
·曾吉申，谭舜泉，李斌，黄继武.一种基于深度学习模型的隐写图像检测方法及系统，专利申请号：8.9，申请日：2016.10.23
·曾吉申，谭舜泉，莫显博，李斌，黄继武. 一种基于深度学习的视频取证方法，申请：3.3，申请日：2019.01.28
·曾吉申，谭舜泉，莫显博，李斌，黄继武.一种基于深度学习的数字图像隐写分析方法，申请号 4.8，申请日：2019.01.28
·Yun Q. Shi and Bin Li, Steganalysis of suspect media, P/N US**B2, 2012.10（美国专利）
·Yun Q. Shi and Bin Li, Detection Technique for Digitally Altered Images, P/N: US**B2, 2012.9.（美国专利）
软件著作权:
·李斌，侯威.基于s3c6410的JPEG图像压缩检测程序V1.0，登记号：2016SR191107 ,登记时间：2016.07.25
·李斌，侯威.基于Android的图像JPEG重压缩检测软件V1.0，登记号：2017SR044737，登记时间：2017.02.16
·周博琛，李斌. 基于tiny4412的嵌入式图像风格迁移软件V1.0，登记号：2018SR123134，登记时间：2018.02.24
·李斌，施晨熠.图像修复APP软件（安卓版）V1.0，登记号：2019SR**，登记时间：2019.12.06
·李斌，史晓裕.基于PyQt的深度学习图像隐写分析系统V1.0，登记号：2019SR**，登记时间：2019.12.09
·李斌，施晨熠.基于神经网络的图像修复软件V1.0，登记号：2019SR**，登记时间：2019.12.09
·郑博伟，李斌. 基于深度学习的人脸图像修复软件V1.0，登记号：2020SR**，登记时间：2020.09.03
·陈晓铭，李斌. 基于深度学习的图像篡改检测软件V1.0，登记号：2020SR**，登记时间：2020.11.23
·郑博伟，李斌. 基于小波变换与深度学习结合的图像修复软件V1.0，登记号：2021SR**，登记时间：2021.01.12